Paperclip Multi-Company Deployment Setup

We design and deploy artificial intelligence systems: from prototype to production-ready solutions. Our team combines expertise in machine learning, data engineering and MLOps to make AI work not in the lab, but in real business.
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Paperclip Multi-Company Deployment Setup
Complex
~3-5 business days
FAQ
AI Development Areas
AI Solution Development Stages
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Setting up a multi-company Paperclip deployment

Multi-company deployment is needed in two scenarios: an agency serving multiple clients from a single installation; or a holding company with multiple legal entities. Each company has an isolated AI organization, but everything runs on a single infrastructure.

Insulation architecture

Database-level isolation: A separate PostgreSQL schema per organization. Strict data separation at the RLS (Row Level Security) level. An agent from company A cannot access company B's data.

Agent namespace isolation: Agents receive context only for their organization. LLM calls are marked with an organization_id. Logs are completely separate.

Resource isolation: Separate task queues (Redis namespacing). Rate limits per organization. Billing per organization.

Network-level (optional): For high isolation requirements, separate Docker networks per organization.

Admin Layer

Super-admin panel for managing all organizations: creation, tariff settings, usage monitoring, and billing. Organization admins see only their own organization.

Development pipeline: 3–5 weeks

Weeks 1–2: Designing a multi-tenant scheme. Database isolation setup.

Weeks 3–5: Admin API and organization management panel. Billing integration. Isolation tests.

Scaling

Kubernetes allows for dynamic resource addition as the number of organizations grows. Horizontal scaling of agent workers. Per-organization resource utilization monitoring.